Staff+ Software Engineer, Research Systems Engineering
About the role
Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems.
In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow.
Key responsibilities
Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
Build deep partnerships with researchers and Research teams to understand their needs and deliver for them
Mentor other engineers and help raise the technical bar for the team
Build alignment on technical direction across multiple teams, working through ambiguous problem spaces
Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident
Minimum qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
Experience independently scoping and delivering complex, ambiguous, multi-month technical projects
Prior experience as a technical lead or mentor for other engineers
Experience making architectural decisions that other engineers and teams build on top of
Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP)
Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders
Preferred qualifications
10+ years of software engineering experience, not including internships
Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL)
Low-level systems experience (e.g., Linux kernel tuning, eBPF)
Experience applying security or privacy engineering best practices
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000—$485,000 USD